| 5014 |
Centers for Disease Control and Prevention |
Html |
en |
Accurate, Accessible and Actionable Health Information for All |
Findings may help improve the effectiveness of individuals and organizations that interact and communicate with people about health. |
| public health topics | 0.65559 |
| practice | 0.424708 |
| GovDelivery | 0.423141 |
| CDC | 0.580386 |
| strategies | 0.42335 |
| health literacy research | 0.751816 |
| health information | 0.517648 |
| tools | 0.424861 |
| health literacy web | 0.779557 |
| evaluation | 0.424657 |
| work aligns | 0.550925 |
| site | 0.474866 |
|
| health literacy | 0.979419 |
| positive changes | 0.528799 |
| health services | 0.523048 |
| new information | 0.5267 |
| KB | 0.435326 |
| organizations | 0.423932 |
| links | 0.42481 |
| federal Plain Writing | 0.642267 |
| timely information | 0.540978 |
| National Action Plan | 0.635208 |
| situations | 0.430199 |
|
CLICK HERE |
| 9190 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Synopsis: January 24, 2013 |
CDC Media Relations - MMWR News Synopsis: January 24, 2013 |
| Salmonella | 0.592968 |
| CDC Director | 0.644421 |
| IIS data | 0.630926 |
| Timely investigation | 0.556196 |
| vine-stalk vegetables | 0.555155 |
| video clips | 0.579647 |
| certain problems | 0.542723 |
| single-commodity food vehicle | 0.696804 |
| accurate data | 0.552158 |
| IIS. 2D barcodes | 0.703321 |
| immune systems | 0.547484 |
| outbreak-related illnesses | 0.62829 |
| ongoing effort | 0.539185 |
| health department officials | 0.696265 |
| proven tool | 0.551484 |
| foodborne illnesses | 0.914928 |
| outbreak-associated illnesses | 0.635676 |
| foodborne disease outbreaks | 0.965707 |
| patient safety | 0.687192 |
| MMWR articles | 0.579526 |
| Immunization information systems | 0.794244 |
| meningococcal disease | 0.789195 |
| data quality | 0.552946 |
| vaccine barcode project | 0.766278 |
| Widespread adoption | 0.548237 |
|
| HUMAN SERVICES | 0.546044 |
| foodborne outbreaks | 0.72862 |
| Hib vaccine series | 0.806938 |
| United States | 0.565676 |
| expiration date | 0.556909 |
| vaccination rates. | 0.561096 |
| New Feature | 0.580294 |
| Electronic Media | 0.942366 |
| vaccination data | 0.566715 |
| Immunization Practices | 0.645886 |
| immunization providers | 0.643618 |
| Advisory Committee | 0.548799 |
| immunization programs | 0.652941 |
| annual survey | 0.553064 |
| anatomic asplenia | 0.553886 |
| U.S. DEPARTMENT | 0.543717 |
| News | 0.515199 |
| Dr. Tom Frieden | 0.743482 |
| E. coli | 0.563404 |
| unpasteurized dairy products | 0.70318 |
| vaccine barcoding | 0.642477 |
| vaccine product information | 0.777382 |
| electronic health records | 0.682934 |
| U.S. children | 0.55664 |
|
CLICK HERE |
| 10863 |
Centers for Disease Control and Prevention |
Html |
en |
27 inside airports puts air travelers and employees at risk - November 20, 2012 |
Secondhand smoke inside airports puts air travelers and employees at risk |
| nonsmoking adults | 0.334746 |
| lung cancer | 0.447438 |
| Disease Control | 0.353314 |
| CDC’s Office | 0.489919 |
| Dulles International Airport | 0.484254 |
| Denver International Airport | 0.478654 |
| secondhand smoke | 0.858166 |
| Las Vegas | 0.338974 |
| smoking rooms | 0.93474 |
| International Airport | 0.68173 |
| smoking areas | 0.982001 |
| visit www.BeTobaccoFree.gov | 0.3415 |
| Brian King | 0.329897 |
| risk-free level | 0.341697 |
| MMWR report | 0.328573 |
| large hub U.S. | 0.478014 |
| international commercial airline | 0.451955 |
| visit http://www.cdc.gov/mmwr. | 0.342592 |
| Average air pollution | 0.48798 |
| brief exposure | 0.367327 |
| indoor areas | 0.352925 |
| passenger boardings—about | 0.332652 |
| largest airports | 0.477315 |
| health protection agency | 0.435966 |
|
| McCarran International Airport | 0.489052 |
| federal laws | 0.33183 |
| U.S. air | 0.352736 |
| health threats | 0.332957 |
| United States | 0.340451 |
| visit www.smokefree.gov. | 0.341613 |
| Tim McAfee | 0.331751 |
| City International Airport | 0.478289 |
| smoke-free airports | 0.789619 |
| heart disease | 0.43931 |
| infant death syndrome | 0.430323 |
| U.S. DEPARTMENT | 0.331244 |
| federal policy | 0.331603 |
| acute cardiac events | 0.425219 |
| air pollution levels | 0.726823 |
| heart disease deaths | 0.435104 |
| visit CDC | 0.375682 |
| effective way | 0.334173 |
| secondhand smoke exposure | 0.667237 |
| Hartsfield-Jackson Atlanta International | 0.481879 |
| lung cancer deaths | 0.429631 |
| State Tobacco Activities | 0.415004 |
| state-specific tobacco-related data | 0.431805 |
| visit http://www.cdc.gov/tips | 0.340215 |
|
CLICK HERE |
| 11143 |
Centers for Disease Control and Prevention |
Html |
en |
2008 National Report on Biochemical Indicators of Diet and Nutrition - Trace Elements: Selenium |
null |
| white blotchy nails | 0.462341 |
| selenium contents | 0.620639 |
| selenium-deficient children | 0.441574 |
| selenium supplies | 0.638997 |
| blood concentrations | 0.486132 |
| mild nerve damage | 0.458719 |
| severe gastrointestinal problems | 0.466726 |
| serum selenium concentrations | 0.761838 |
| Regul Toxicol Pharmacol. | 0.458002 |
| U.S. children | 0.459644 |
| additional significant differences | 0.459139 |
| glutathione peroxidase activity | 0.471795 |
| Nutrition Examination Survey | 0.460549 |
| major dietary source | 0.487668 |
| Dietary Reference Intakes | 0.48109 |
| non-overlapping confidence limits | 0.459631 |
| individual organization Web | 0.457247 |
| Selenium functions | 0.672015 |
| selenium deficiency | 0.779768 |
| adequate serum concentrations | 0.497433 |
| NHANES survey period | 0.466451 |
| descriptive NHANES papers | 0.46225 |
| myxedematous endemic cretinism | 0.465382 |
| particular life stage | 0.463108 |
|
| selenium content | 0.673501 |
| glutathione peroxidase | 0.481303 |
| S. Selenium status | 0.650661 |
| currently recommended EAR | 0.467993 |
| nutrient intakes | 0.441827 |
| selenium absorption | 0.652526 |
| dietary selenium | 0.690117 |
| United States | 0.537459 |
| cancer chemopreventive agent | 0.465045 |
| Lida M. Selenium | 0.64372 |
| dietary intake | 0.516401 |
| selenium | 0.958262 |
| selenium-associated proteins | 0.469436 |
| J. Selenium deficiency | 0.663061 |
| selenium depletion | 0.653849 |
| Sorbo B. Hyposelaemia | 0.458421 |
| poor heart function | 0.4632 |
| daily nutrient intake | 0.472078 |
| categorical differences | 0.457928 |
| Trace element risk | 0.456667 |
| median serum selenium | 0.682857 |
| Serum selenium levels | 0.668829 |
| Trace Elem Res. | 0.461734 |
| Keshan disease | 0.471159 |
|
CLICK HERE |
| 11219 |
Centers for Disease Control and Prevention |
Html |
es |
Datos importantes para prepararse para un huracán |
Usted no puede detener una tormenta tropical o un huracán, pero sí puede tomar ciertas medidas para su protección y la de su familia. |
| Archivo Apple Quicktime | 0.635095 |
| Archivo RealPlayer | 0.516351 |
| Archivo Zip Comprimido | 0.629933 |
| Archivo Microsoft PowerPoint | 0.664618 |
| Archivo Adobe PDF | 0.634768 |
|
| Archivo Microsoft Excel | 0.633171 |
| importantes medidas | 0.510277 |
| Archivo Microsoft | 0.922571 |
| Tome medidas | 0.528027 |
| Archivo Microsoft Word | 0.660379 |
|
CLICK HERE |
| 12052 |
Centers for Disease Control and Prevention |
Html |
en |
Progress Toward Poliomyelitis Eradication - Nigeria, January2013-September 2014 |
Andrew Etsano, DLSHTM1, Rajni Gunnala, MD2, Faisal Shuaib, DrPH3, Eunice Damisa, MPH1, Pascal Mkanda, MBBS4, Richard Banda, MPH4, Charles Korir, MA4, Ogu Enemaku, PhD5, Melissa Corkum, MICD5, Samuel Usman, MBBS6, Lora B. Davis, DVM2, Gatei wa Nganda, MSc2, Cara C. Burns, PhD7, Frank Mahoney, MD2, John F. |
| environmental surveillance | 0.765499 |
| recent WPV1 cases | 0.654099 |
| polio eradication | 0.934148 |
| polio vaccine | 0.827169 |
| northern Nigeria | 0.642567 |
| oral poliovirus vaccine | 0.706318 |
| Public Health Emergency | 0.636282 |
| routine vaccination coverage | 0.623621 |
| inactivated polio vaccine | 0.762697 |
| national polio eradication | 0.688211 |
| northeastern Nigeria | 0.625412 |
| surveillance performance indicators | 0.709197 |
| AFP case detection | 0.655571 |
| SIAs | 0.742339 |
| AFP cases | 0.700197 |
| government health programs | 0.625 |
| WPV3 cases | 0.624241 |
| cVDPV2 transmission | 0.626102 |
| high-risk states | 0.875752 |
| polio eradication activities | 0.713748 |
| vaccination coverage | 0.625654 |
| Borno/Yobe transmission zone | 0.629939 |
| Polio surveillance | 0.661186 |
|
| routine immunization | 0.657651 |
| AFP surveillance performance | 0.673191 |
| Nigeria | 0.736994 |
| Global Polio Eradication | 0.714346 |
| Nigeria Polio Emergency | 0.722984 |
| OPV coverage | 0.652967 |
| permanent health teams | 0.623167 |
| World Health Organization | 0.636462 |
| subnational SIAs | 0.679245 |
| Partners Project Nigeria | 0.658741 |
| strengthened routine immunization | 0.623134 |
| polio eradication response | 0.679344 |
| Nigeria Office | 0.640543 |
| national SIAs | 0.681379 |
| WPV type | 0.626854 |
| World Health Assembly | 0.637354 |
| Kano transmission zone | 0.76771 |
| WPV cases | 0.669731 |
| oral polio vaccine | 0.689935 |
| adequate stool | 0.65892 |
| Nigeria Demographic | 0.627157 |
| surveillance gaps | 0.635641 |
| genomic sequence analysis | 0.770565 |
|
CLICK HERE |
| 13293 |
Centers for Disease Control and Prevention |
Html |
en |
World No Tobacco Day - May 31, 2015 |
Each year, the tobacco epidemic kills an estimated 6 million persons worldwide, including about 600,000 who die because of secondhand smoke exposure. If current trends continue, this number is expected to reach 8 million deaths annually by 2030 (1). |
| effective actions | 0.276567 |
| United States | 0.267961 |
| tobacco consumption | 0.472752 |
| U.S. Government Printing | 0.390464 |
| original MMWR paper | 0.379169 |
| Human Services | 0.37356 |
| current trends | 0.283216 |
| MMWR HTML versions | 0.384871 |
| U.S. Department | 0.367476 |
| MMWR readers | 0.263487 |
| character translation | 0.250249 |
| illicit trade | 0.555313 |
| World No Tobacco | 0.475535 |
| international experiences | 0.260856 |
| U.S. illicit tobacco | 0.717571 |
| electronic PDF version | 0.372725 |
| government tax revenue | 0.409089 |
| illicit tobacco trade | 0.98169 |
| tobacco use prevention | 0.446819 |
| format errors | 0.252591 |
|
| World Health Organization | 0.445592 |
| National Academies Press | 0.397579 |
| secondhand smoke exposure | 0.432426 |
| Contact GPO | 0.287106 |
| typeset documents | 0.259287 |
| trade names | 0.270796 |
| commercial sources | 0.258325 |
| official text | 0.248318 |
| international collaboration | 0.264813 |
| current prices | 0.255376 |
| tobacco products | 0.735949 |
| non-CDC sites | 0.256064 |
| policy context | 0.255553 |
| tobacco epidemic | 0.488889 |
| original paper copy | 0.38148 |
| tax avoidance | 0.277705 |
| health risks | 0.286436 |
| tax evasion | 0.284744 |
| electronic conversions | 0.247827 |
|
CLICK HERE |
| 13737 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Grand Rounds: Understanding the Causes of Major BirthDefects - Steps to Prevention |
This is another in a series of occasional MMWR reports titled CDC Grand Rounds. These reports are based on grand rounds presentations at CDC on high-profile issues in public health science, practice, and policy. Information about CDC Grand Rounds is available at http://www. |
| specific birth defects | 0.560709 |
| early pregnancy | 0.3691 |
| population-based case-control study | 0.349876 |
| multicenter case-control study | 0.346873 |
| pregnancy registry studies | 0.354986 |
| neural tube defects | 0.604608 |
| orofacial defects | 0.438205 |
| National Birth Defects | 0.498545 |
| defects risk factors | 0.450279 |
| birth defects risk | 0.468219 |
| pregnant women | 0.358956 |
| case-control study | 0.36206 |
| major birth defects | 0.664518 |
| musculoskeletal defects | 0.436803 |
| certain birth defects | 0.470384 |
| case-control studies | 0.342534 |
| pregnancy | 0.402784 |
| computer-assisted telephone interview | 0.364508 |
| Boston University | 0.388341 |
| Defects Prevention Study | 0.446659 |
| individual birth defects | 0.49277 |
| congenital heart defects | 0.495435 |
| folic acid fortification | 0.387849 |
| Developmental Disabilities | 0.351176 |
|
| different birth defects | 0.465343 |
| adverse pregnancy outcomes | 0.342627 |
| United States | 0.380486 |
| structural birth defects | 0.464441 |
| pregestational diabetes | 0.365795 |
| Slone Epidemiology Center | 0.362609 |
| common birth | 0.350358 |
| active birth | 0.344187 |
| birth defects prevention | 0.487585 |
| defects prevention efforts | 0.421972 |
| Health Interview Study | 0.343337 |
| evaluate pregnancy exposures | 0.377393 |
| abdominal wall defects | 0.454328 |
| uncontrolled pregestational diabetes | 0.352575 |
| folic acid | 0.396929 |
| identifiable structural birth | 0.367013 |
| public health | 0.403247 |
| CDC Grand Rounds | 0.367459 |
| genitourinary defects | 0.437583 |
| Birth Defects Study | 0.530302 |
| numerous birth defects | 0.450938 |
| birth defects | 0.946735 |
| potential risk factors | 0.344132 |
| public health science | 0.343951 |
|
CLICK HERE |
| 15457 |
Centers for Disease Control and Prevention |
Html |
en |
Stigma and Discrimination | Gay and Bisexual Men's Health | CDC |
Learn more about Homophobia, Stigma, and Discrimination among MSM. |
| health insurance | 0.649165 |
| sexual orientation | 0.980838 |
| mental health | 0.893849 |
| positive group identity | 0.672747 |
| negative beliefs | 0.621828 |
| stronger rejection | 0.610374 |
| homophobia | 0.618202 |
| health issues | 0.641283 |
| fewer suicidal feelings | 0.658518 |
| online information resources | 0.663369 |
| discrimination | 0.676949 |
| new public health | 0.697546 |
| school staff | 0.736958 |
| bisexual young adults | 0.908535 |
| long-term same-sex relationships | 0.672226 |
| family members | 0.670269 |
| student-organized school clubs | 0.687541 |
| poor mental health | 0.720867 |
| J. Family rejection | 0.67923 |
| hospital visitation policies | 0.650468 |
| school connectedness | 0.616895 |
| health care settings | 0.73266 |
| wider gay community—have | 0.712169 |
| school district | 0.612497 |
| School Psychology Review | 0.683423 |
|
| parents | 0.642157 |
| negative attitudes | 0.700816 |
| stigma | 0.69733 |
| risky sexual behaviors | 0.710537 |
| positive school environment | 0.694507 |
| negative health effects | 0.703043 |
| negative health outcomes | 0.706426 |
| health classes | 0.624373 |
| health services | 0.70689 |
| negative consequences | 0.617029 |
| bisexual teen | 0.758703 |
| gender identity | 0.660334 |
| poor coping skills | 0.667644 |
| supportive school environments | 0.681751 |
| social support—from family | 0.682078 |
| positive mental health | 0.726166 |
| young men | 0.63461 |
| high school students | 0.695085 |
| bisexual men | 0.86826 |
| high quality health | 0.722291 |
| gay men | 0.672452 |
| M. Homophobic teasing | 0.666307 |
| unexcused school absences | 0.691759 |
| Positive Parenting Practices | 0.662156 |
|
CLICK HERE |
| 15901 |
Centers for Disease Control and Prevention |
Html |
en |
EIS Conference | Epidemic Intelligence Service |
The EIS Conference is a primary forum for EIS officers to present their epidemiologic activities. National and international participants represent EIS officers, their mentors, EIS alumni, and public health professionals. |
| high school | 0.315988 |
| Mortality Weekly Report | 0.433918 |
| Google Senior Fellow | 0.394501 |
| regulatory science | 0.318201 |
| Nuclear Threat Initiative | 0.399931 |
| Dr. Hamburg | 0.35321 |
| Infectious Disease | 0.313566 |
| epidemiology innovators | 0.370384 |
| scientific journal articles | 0.421085 |
| leadership capacities | 0.319187 |
| Langmuir Lecturer | 0.682214 |
| Dr. Margaret Hamburg | 0.448541 |
| Boston University School | 0.43327 |
| New York City | 0.402953 |
| national disease surveillance | 0.438185 |
| Large-Scale Machine Learning | 0.405271 |
| Public Health. | 0.335822 |
| Langmuir Lecture | 0.881617 |
| Dr. Sandro Galea | 0.577349 |
| Robert A. Knox | 0.424327 |
| Abraham Lilienfeld | 0.337127 |
| 65th Annual EIS | 0.498468 |
| 66th Annual EIS | 0.522191 |
| regulatory pathways | 0.314883 |
| Health Commissioner | 0.350547 |
|
| United States | 0.45657 |
| Geoffrey Rose | 0.324185 |
| internationally recognized leader | 0.402648 |
| public health lecture | 0.608896 |
| Dr. Langmuir | 0.713758 |
| Sir Richard Doll | 0.420012 |
| Infoâ„¢ statistical software | 0.408621 |
| Alexander D. Langmuir | 0.700135 |
| Influential Scientific Minds | 0.419717 |
| Dr. Dean | 0.361768 |
| annual eis conference | 0.947972 |
| Thomson Reuters | 0.321929 |
| public health | 0.817654 |
| Jonas Salk | 0.335699 |
| CDC’s chief | 0.350459 |
| current periodicals | 0.31782 |
| Communicable Disease Center | 0.45051 |
| Social Sciences | 0.319417 |
| Epidemiology Program | 0.377656 |
| Population Health Science | 0.439296 |
| Dr. Galea | 0.546742 |
| Epi Infoâ„¢ Museum | 0.458709 |
| Langmuir Lecture speakers | 0.767381 |
| public health thinkers | 0.488481 |
|
CLICK HERE |